CMPE 452 Assignment 1 - Iris Classification Using Perceptron
A python implementation of a simple 2-layer perceptron network, and accompanying study that uses it to classify the Iris Dataset
Instructions
For complete results of the assignment, use a browser to open iris-perceptron.html
.
To run the experiment code, it is necessary to have to following dependencies installed:
- NumPy
- scikit-learn
- seaborn
- Pandas
- matplotlib
- jupyter
Please install the above packages using either pip
or conda
. Once the dependencies are installed, simply run jupyter notebook
and open iris-perceptron.ipynb
in the Notebook browser app.